GenAI Sales Specialist, EU North Data and Generative AI Specialist Team

DESCRIPTION

Do you look around corners for ways to engage and service customers? Are you passionate about using GenAI to solve business problems that have big customer impact? AWS is seeking an experienced GenAI Sales Specialist to lead and continue to expand the business with our strategic customers.

Generative AI is transforming entire industries and fundamentally changing the way we live and work. AWS is the place where organizations can build AI technology securely, responsibly, and with confidence. AWS is positioned at the forefront of GenAI with the deepest set of services and features as the leader in cloud. The GenAI Sales Specialist will be a key member of the team responsible for providing business leadership and creative direction for this fast-paced and evolving technology working with strategic customers in the Benelux region. You will build and maintain broad relationships in the account, develop and manage opportunities, and lead a large virtual team of extended resources. You will define an exec relationship strategy within the account, including building a strong working relationship with the AWS senior leadership team for executive sponsorship, executive business reviews, and shaping go-to-market opportunities. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Here at Amazon Web Services, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Key job responsibilities

• Lead the AWS AI Business for your assigned verticals and sub-industries in the Benelux region.
• Accelerate customer adoption by defining and implementing domain specific Sales strategies within your assigned sub-verticals, leveraging AWS Sales and our partner ecosystem.
• Build Trust with Executives, Data Scientistes, Developers, Line of Business and C-suite leaders, building trust with your soft skills and technical expertise, and following through to help solve their most compelling business problems.
• Develop and deliver compelling ROI and business cases to drive adoption of AWS Gen AI solutions.
• Act as the front line within your accounts for all specialist customer engagement in your domain.
• Create & articulate compelling value propositions that address specific needs of your customers.
• Build and innovate: Co-Develop GTM motions on new product launches and work with product teams on the creation of innovative new services.
• Partner with system integrators, Developers to deliver on customer projects.
• Spearhead market expansion by pinpointing new customer segments and Gen AI use cases
• Collaborate cross-functionally to continuously strengthen AWS's Gen AI value proposition
• Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience

Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership.

A day in the life

As a GenAI Specialist Seller, you'll lead technical discovery to map customer challenges to the right GenAI architectures—foundation models, RAG, fine-tuning, and agentic patterns. You'll partner with solutions architects to scope and orchestrate proofs of concept on services like Amazon Bedrock and SageMaker, guiding customers through model selection, prompt engineering, and evaluation. You'll address inference cost, latency, security, and responsible-AI considerations, and translate technical validation into production adoption plans. Expect to run architecture deep-dives, advise on data readiness and integration, engage technical decision-makers, and share field insights that shape our GenAI go-to-market strategy.

About the team

Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS

• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
• Experience working effectively with science, data processing, and software engineering teams
• Extensive domain knowledge of AI from a business-level perspective

PREFERRED QUALIFICATIONS

• Experience communicating with a wide range of stakeholders, including your peers and leadership
• Master's degree or above
• • Experience with AWS AI/ML services (SageMaker, Bedrock, Q for Business, Q for Dev etc.)
• Experience in consulting or working for large, complex organizations

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.